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Data Engineer

Job

E-Solutions Inc.

Plano, TX (In Person)

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 7/18/2026

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Job Description

Data Engineer (Plano, TX, 75094) | 06/15/26

Job Description Position Title:

Data Engineer Location:

Plano, TX Remote/Onsite:

Onsite Types of Hire:

Fulltime Job Description:

Job Summary:

We are seeking a Data Engineer with strong experience with data wrangling and building enterprise data pipelines including ingestion, transformation and management.

Responsibilities:

Design, develop, and maintain end-to-end data pipelines using data ingestion tools and Azure Databricks Implement scalable data ingestion frameworks (batch and incremental) from diverse data sources (APIs, databases, files, cloud storage) Build and optimize data transformation logic using Spark (Databricks), SQL, and Python Develop and maintain data models supporting analytics, reporting, and machine learning use cases Collaborate with analytics teams to enable Power BI datasets and reporting solutions Ensure data quality, reliability, and consistency through validation frameworks and monitoring Optimize performance of pipelines, storage, and compute resources in Azure Implement data governance practices, including lineage, cataloging, and documentation Support CI/CD deployment pipelines for data engineering workflows Minimum Qualifications years of experience in Data Engineering roles Strong hands-on experience with data ingestion / ETL / ELT tools like Azure Data Factory and data modelling Proficient in using Azure Databricks (PySpark/Spark SQL) and medallion architecture Experience with other SQL databases, relational databases and NoSQL databases Understanding of data lake and data warehouse architectures (e.g., Azure Data Lake, One Lake, Delta Tables) Experience working with large-scale structured and semi-structured datasets Ability to work with cross-functional teams and translate business requirements into technical solutions

Disclaimer:

E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability." Data Engineer1Python, power bi, Data Engineer, Azure Data Bricks Full TimeUnited States